Classification and prediction of student performance data using various machine learning algorithms
In today's competitive world, it is critical for an institute to forecast student performance,
classify individuals based on their talents, and attempt to enhance their performance in …
classify individuals based on their talents, and attempt to enhance their performance in …
The impact of engineering students' performance in the first three years on their graduation result using educational data mining
AI Adekitan, O Salau - Heliyon, 2019 - cell.com
Research studies on educational data mining are on the increase due to the benefits
obtained from the knowledge acquired from machine learning processes which help to …
obtained from the knowledge acquired from machine learning processes which help to …
Knowledge discovery for higher education student retention based on data mining: Machine learning algorithms and case study in Chile
Data mining is employed to extract useful information and to detect patterns from often large
data sets, closely related to knowledge discovery in databases and data science. In this …
data sets, closely related to knowledge discovery in databases and data science. In this …
Advances in Intelligent Systems and Computing
LY Cheng - 2021 - Springer
This volume contains the proceedings of the 7th Euro-China Conference on Intelligent Data
Analysis and Applications (ECC 2021), which is hosted by Communication University of …
Analysis and Applications (ECC 2021), which is hosted by Communication University of …
Data mining approach to predicting the performance of first year student in a university using the admission requirements
AI Adekitan, E Noma-Osaghae - Education and Information Technologies, 2019 - Springer
The academic performance of a student in a university is determined by a number of factors,
both academic and non-academic. Student that previously excelled at the secondary school …
both academic and non-academic. Student that previously excelled at the secondary school …
Survival analysis based framework for early prediction of student dropouts
Retention of students at colleges and universities has been a concern among educators for
many decades. The consequences of student attrition are significant for students, academic …
many decades. The consequences of student attrition are significant for students, academic …
Stacked KNN with hard voting predictive approach to assist hiring process in IT organizations
Effective candidates screening is critical for any IT firm as it impacts the future growth and
productivity of that firm. Currently majority of these firms follow a manual approach of hiring …
productivity of that firm. Currently majority of these firms follow a manual approach of hiring …
Running out of stem: a comparative study across stem majors of college students at-risk of dropping out early
Higher education institutions in the United States and across the Western world face a
critical problem of attrition of college students and this problem is particularly acute within …
critical problem of attrition of college students and this problem is particularly acute within …
Exploring online activities to predict the final grade of student
Student success rate is a significant indicator of the quality of the educational services
offered at higher education institutions (HEIs). It allows students to make their plans to …
offered at higher education institutions (HEIs). It allows students to make their plans to …
A recommender for improving the student academic performance
There is a growing awareness among researchers about the apparent variations in the
academic performance of students in tertiary institutions. Although, many studies have …
academic performance of students in tertiary institutions. Although, many studies have …